It appears that your browser does not support JavaScript, or you have it disabled. This site is best viewed with JavaScript enabled. If JavaScript is disabled in your browser, please turn it back on then reload this page. If your browser does not support JavaScript, click here for a page that doesn't require javascript.

Learn how to build an Azure Machine Learning model, how to use, integrate and consume the model within other applications, and learn the basic principles and statistics concepts available in the different ML algorithms.

Businesses today require real-time information to make better-informed decisions, this requires a new set of tools. In this session you will learn about Azure Stream analytics and how it can help address real-time data scenarios

SQL Server and Azure are built for each other.
New hybrid scenarios between on-premise SQL Server and Azure mean they don't have to exclude each other but instead you can have the best of both worlds, reducing operational costs.

Come learn about the business goals and technical challenges faced by real-world customers, why they chose Azure Cosmos DB, and the patterns they used to deliver highly available, globally distributed experiences.

Focusing on the micro-service / OLTP domain, this talk approaches the challenge of choosing between Azure SQL Database and Cosmos Db (Document Db) by using solution use cases to test each storage's offering for appropriateness.

We will showcase the latest feature of SSIS 2017 such as connectors for Azure Data Lake Store (ADLS), Azure SQL Data Warehouse (SQL DW), SSIS Scale-Out at package level for the box product as well as the SSIS package execution on Azure Data Factory

How does Big Data with Hadoop, Cloud Computing in Azure, Self Service BI and “classic” BI with
SQL 2016 interact with each other to build a modern enterprise BI architecture at InnoGames?
Watch my talk and you will know!

One hot topic with Power BI is security, in this deep dive session we will look at all the aspects of security of Power BI, from users, logging to where and how your data is stored andleverage additional Azure services to secure it even more.

Deep learning is an essential component of an analytical toolbox. There are considerable challenges in training deep learning models and this presentation explores how to overcome these using Microsoft’s scalable ML offering, Azure Batch AI.

If you have 100's SQL Servers, some legacy applications, running on older versions and no cloud subscription? Then the path is to cloud very different from a single click.
We focus on the key steps needed for a cloud SQL data migration.

The SQL team has been working on next-gen query processing improvements to improve the performance of your queries and to enable new scenarios. This talk will explain these enhancements and how they fit into the overall product roadmap for SQL.

We’ll share in the session best practices of designing highly available SQL Databases in the context of cross region deployment; how to make your application robust to handle transient connectivity issues.

Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.

Business expects 360 view of Customer but data is difficult to build, challenging to clean and complex to de-duplicate. The challenge is to synchronise this data with systems of record. See how Profisee can solve this problem at volume & without code

By using open data and web scraping in Power BI we will examine if weather has an impact on games in the English Premier League. We will look at the advantages and disadvantages of using open data and web page data how Power BI works with it.

Come to this session to learn about AzureSQL DB migration approaches, challenges, and solutions from SQLCAT. We will present practical migration guidance and learnings from our engagements with high scale and complex customer migrations

I look at how you can take advantage of an on-premises gateway to make use of local data when creating reports and dashboards for Power BI. This will start with Power BI Desktop, and the choices you have for SQL Server and Analysis Services.

PolyBase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and Windows Azure Storage Blobs (WASB). See it in action.

Azure Machine Learning is a fully managed cloud service for predictive analytics.
In this 1hour session, we will run through;
ML Studio,using data, Creating and running Experiments, visualising results, R , publishing and using experiments.

The Azure CAT team has successfully architected, designed and built hundreds of cloud projects. In this session we will share the learnings on how to design a cloud application to scale to handle large, complex workloads.

This presentation includes an overview of SQL Server 2012 & a deep dive into SQL Server 2014 columnstore indexes, including a review of the architecture, as well as the challenges, workarounds, travails, & big wins at customer sites

Being able to reason over your data and accelerate your insights is essential in this cloud first mobile first world. This session visits key technologies, PowerBI, AzureML and IoT to help you start driving your data culture.

Does the concept of analytics make you nervous? Are you being asked to do more advanced analysis with existing tools? Come learn how to take your predictive capabilities to the next level with new azure technologies.

Many customers are looking toward Cloud technologies to reduce operational and capital expenditures. A popular choices today for SQL Server customers is to deploy in the Microsoft Azure Virtual Machine environment. Come to this session and learn how

One of the crawl, walk then run onramps to the cloud would be to exploit Hybrid computing. Microsoft SQL Server gives you this on ramp as it continues to extend the value to your on premise environment with features that let you extend to the cloud

Power BI offers new features for creating dashboards on the cloud. In this session, you will learn how to create data models, display visualizations and synchronize cloud data with on premise data sources.

Query Store is a new feature that is coming to SQL Azure and SQLServer. It aims to greatly simplify the process of getting insight intothe performance of your application. Come learn how the SQL team is going to make your life awhole lot easier!

Need a snazzy dashboarding tool, and want it free or cheap?
With a modicum of R and Linux knowledge, you can make interactive realtime dashboards for free that can be used in any web browser. Learn how in this session.

In this session, we show how SSIS and HDInsight can work together, as well as how Hadoop jobs can be executed and how data can be transferred with SSIS between HDInsight, SQL Server, and other sources or destinations.

Microsof IT's Cloud strategy involves migrating hundreds of applications to Azure. The scale on which it is being done may be unprecedented. Lessons Learned are numerous. This session exposes the most important—& painful—ones.

This session will look at SQL Database Elastic Scale through the important lens of the DBA, focusing on the critical aspects of database performance, maintenance, and management without adding unnecessary complexity.

In this talk, I will share my experience in creating and running Azure SQL Database, a large cloud scale service powered by SQL Server technologies. This presentation will provide an outline of the scenarios and requirements for a database service.

Polybase is one of the most exciting, innovative features in PDW; enabling transparent data integration with Hadoop's distributed file system (HDFS) and soon Windows Azure Storage Blobs (WASB). See it in action.

Microsoft is moving to the cloud and SQL Server 2014 is the first release with features designed specifically to extend your datacentre into the cloud. In this session we'll look at these features with end-to-end demos, discussions and scenarios so you can understand what the future could look like in your own SQL Server environment.

Firstly we will show off Microsoft's enhancements to the Hadoop open source stack with HDInsight showing you how easy it is to get started with Hadoop. Secondly we'll explore an interesting big data use case

This session will discuss the recommended approaches and best practices for partitioning and scaling Windows Azure SQL Database, allowing you to fully leverage the managed relational database service and take advantage of massive scale-out scenarios.

This session will focus on 5 great hybrid cloud features available in SQL Server 2014 that show how you can use these features to lower your TCO and leverage the cloud to provide new disaster recovery and backup solutions.

While there are many similarities between SQL Server and SQL Azure, there are different kinds of applications that are easier to build in one or the other. One of the major differences relates to how to build an application that “scales”. This presentation will provide an introduction into the difference between scale-up (SQL Server) and scale-out (SQL Azure) architectures and give you a primer on how you can build a large, Internet-facing service that can scale to arbitrarily large sizes on commodity hardware. This talk is targeted at SQL Server practitioners to give them a working knowledge of how the two platforms differ based on Microsoft’s experiences with its largest Software-as-a-Service (SaaS) customers running on SQL Azure.

Just because you're using an Azure SQL database does not mean you can avoid tuning queries. This session will introduce you to the tools you have available to identify poor performing queries, understand, and fix them. All in the cloud.

In this session we are going to look at the some of the flavours of SQL in Azure, namely Windows Azure Database and SQL on IaaS. We will discuss the differences between them, look at what this means from a DBA stand point

Ewan Fairweather and Silvano Coriani from the SQL CAT team will take you on a tour of the new features that make up the Windows Azure Virtual Machines and Virtual Networks running SQL Server 2012 in a Virtual Machine.

This session provides an architectural blueprint to deploying disaster recovery solutions combining on-premise and Windows Azure cloud technologies. The session looks at a design pattern to solve a long standing and often expensive issue of DR.

We aim to cover the fundamental concepts that you should know on the Cloud and Windows Azure. In this demo based hour we will step through building Azure applications, deploying and managing them and what storage choices you will face.

While knowledge of SQL Server troubleshooting still applies to the Windows Azure SQL Database service, there are new and different features, methods, and tools that are unique to cloud database computing. Come learn about these new techniques.

Do you want to learn how Microsoft helped one of the largest Financial Services organizations in the world design a Private Cloud infrastructure using Windows Hyper-V and System Center 2012 to standardize and consolidate hundreds of SQL Servers?

In this presentation, we provide an introduction to SQL Azure Federations and also show
some interesting patterns that provide additional capabilities such as
scale-out query processing, cross-shard schema management and multi-key sharding.

The leaders from every SQL user group across England, Scotland & Wales have got together and created the definitive dictionary of essential SQL know-how, and crammed all of this into a single fast paced romp through the SQL alphabet.

Mark Souza (General Manager in the SQL Server product team) will spend an hour of presentation and discussion of Microsoft's next generation database platform followed by a discussion on cloud technology.

SQL Azure is Microsoft’s new strategy for storing your data in the cloud, but what to do when you exceed the 10/50GB limit. This is where sharding or partitioning comes into play – this session shows you how it can be done in an OLTP system and show you some of the common pitfalls of SQL azure as we have discoverd in analyzing SQL Azure as an alternative to onsite SQL Server instances at different clients.

Consolidation of SQL Server infrastructure has become increasingly popular.
This is true from both a technological and financial perspective, may it be through virtualization, instance concentration or in building SQL Server hotel environments.
This is an in-depth presentation on one of the biggest consolidation projects ever in the Nordic countries based on SQL Server 2008.
This presentation will cover both the business aspects as well as the technical reasons behind this project by two of its top resources.
In one year the customer went from nearly 200 physical machines hosting over 1100 databases to only 20 servers without using any form of virtualization!

About

SQL Bits was started by a group of individuals that are passionate about the SQL Server product suite.
There is a breadth of knowledge in the SQL Community that will benefit everyone in the community.
We want to spread that knowledge.

We all work with the SQL community, some of us for many years. We have a range of skills and experiences from being given the MVP award by Microsoft, organising user groups and speaking at events around the world.